Predicting anxiety in cancer survivors presenting to primary care – A machine learning approach accounting for physical comorbidity

BACKGROUND: The purpose of this study was to explore predictors for anxiety as the most common form of psychological distress in cancer survivors while accounting for physical comorbidity. METHODS: We conducted a secondary data analysis of a large study within the German National Cancer Plan which e...

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Detalles Bibliográficos
Autores principales: Haun, Markus W., Simon, Laura, Sklenarova, Halina, Zimmermann‐Schlegel, Verena, Friederich, Hans‐Christoph, Hartmann, Mechthild
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Bioinformatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8290227/
https://www.ncbi.nlm.nih.gov/pubmed/34076372
http://dx.doi.org/10.1002/cam4.4048

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8290227/
https://www.ncbi.nlm.nih.gov/pubmed/34076372
http://dx.doi.org/10.1002/cam4.4048

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